Journal Papers | |||||
G. Chechik,
M. Anderson, O. Bar-Yosef, E. Young, N. Tishby
and I. Nelken, Transformations of stimulus representations in the Ascending Auditory Pathway Neuron. In Press. |
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Sean O'Rourke, Gal Chechik, Robin Friedman, and Eleazar Eskin Discrete profile alignment via information bottleneck. BMC bioinformatics, 7(Suppl1):S8, Feb 2006, p. 1-11. |
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I Nelken,
G. Chechik, T.D. Mrsic Flogel A.J. King and
J.W.H. Schupp Encoding stimulus information by spike numbers and mean response time in primary auditory cortex. J. Computational Neuroscience 19(2):199-221, 2005 |
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Gal Chechik,
Amir globerson, Naftali Tishby and Yair Weiss Information Bottleneck for Gaussian variables. J. Machine Learning Research 6(Jan) p.165-188, 2005 |
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I. Solomon, N. Marashak, G. Chechik, L. Leibovici, A. Lubetsky,
, H. Halkin, D. Ezra and N. Ash Applying an artificial neural network to warfarin maintenance does prediction,. Isr. Med. Assoc. J., 6(12): 732-735, 2004 |
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Gal Chechik Spike timing dependent plasticity and relevant information maximization. Neural Computation 15(7) p.1481-1510, 2003       |
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Gal Chechik,
Isaac Meilijson, and Eytan Ruppin. Effective Learning with Ineffective Hebbian Learning Rules. Neural Computation 13(4) p.817-840, 2001       |
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G. Chechik, I. Meilijson, E. Ruppin Spike time dependent plasiticty and mutual information maximiza tion,. Neurocomputing, 38: 147-152, 2001 |
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Gal Chechik,
Isaac Meilijson, and Eytan Ruppin. Neuronal normalization provides effective learning through ineffecive learning rules. Neurocomputing 32:345-351, 2000 |
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Gal Chechik,
Isaac Meilijson, and Eytan Ruppin. Neuronal Regulation: A Mechanism for Efficient Synaptic Pruning During Brain Maturation. Neural Computation 11(8) p. 2151-2170. 1999       |
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G. Chechik, I. Meilijson, E. Ruppin Neuronal regulation: A biologically plausible mechanism for eff icient syanptic prunning in development. Neurocomputing, 26-27: 633-639, 1999 |
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Gal Chechik,
Isaac Meilijson, and Eytan Ruppin. Synaptic pruning in development: a computational account. Neural Computation 10(7) p.1759-1777, 1998       |
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Reviewed Conference Papers | |||||
Amir globerson,
Gal Chechik, Fernando Pereira and Naftali Tishby Euclidean Embedding of Co-occurrence Data. NIPS 2004 p. 497-504. Outstanding student paper award |
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Amir globerson,
Gal Chechik, Fernando Pereira and Naftali Tishby Euclidean Embedding of Co-occurrence Data. AAAI 2006, Nectar Track, Submitted |
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Gal Chechik, Aviv Regev and Daphne Koller Filling missing enzymes in metabolic pathways using heterogeneous data. NIPS Computational Biology workshop |
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Gal Chechik,
Eran Segal and Daphne Koller Modeling temporal response profiles of gene expression. Submitted |
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Gal Chechik,
Omer Bar-Yosef, Mike anderson, Eric Young, Naftali Tishby, Israel Nelken Changes in Stimulus representations in the ascending auditory pathway. COSYNE 2005 |
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Haidong Wang,
Gal Chechik, Ben Taskar and Daphne Koller Predicting Protein-Protein Interaction Sites from Sequence Data. Submitted |
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Sean O'Rourke, Gal
Chechik, Robin Friedman and Eleazar Eskin, Discrete profile alignment via information bottleneck. NIPS 2004 |
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Koby
Crammer and Gal Chechik, A needle in a haystack: Local one class optimization. International conference in machine learning, Banff Canada ICML 2004 |
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Gal Chechik, Amir
globerson, Naftali Tishby and Yair Weiss Information Bottleneck for Gaussian Variables. Advances in Neural Information Processing Systems-16, Vancouver Canada, NIPS 2003 |
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Amir globerson, Gal Chechik and Naftali Tishby Extracting continuous relevant features. in: Daniel Baier and Klaus-Dieter Wernecke (eds.): Innovations in Classification, Data Science, and Information Systems. Proc. 27th Annual GfKl Conference, University of Cottbus, Germany 2003. Springer-Verlag, Heidelberg-Berlin, 224-238, 2004. |
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Amir
globerson, Gal Chechik and Naftali Tishby Sufficient Dimensionality reduction with irelevance statistics. Uncertainty in artificial inteligence, Acapulco Mexico. (UAI 2003) |
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Hezi
Avraham, Gal Chechik and Eytan Ruppin Are there representations in evolved embodied agents? Taking measures. European conference on artificial life, (ECAL 2003) |
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Gal Chechik and
Naftali Tishby Extracting relevant structures with side information. Advances in Neural Information Processing Systems-15, Vancouver Canada, NIPS 2002 |
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Gal Chechik,
Amir Globerson, Mike J. Anderson, Eric D. Young, Israel Nelken and Naftali Tishby,
Groups redundancy measures reveal redundancy reduction along the auditory pathway. Advances in Neural Information Processing Systems-14, Vancouver Canada, (NIPS 2001) |
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Gal Chechik and
Naftali Tishby Spike time dependant plasticity and mutual information Advances in Neural Information Processing Systems 13, Vancouver Canada, (NIPS 2000) |
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Gal Chechik Temporal dependant plasticity maximizes mutual information in a spiking neural network Ninth Annual Computational Neuroscience Meeting, Bruge Belgium (CNS 2000) |
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Gal Chechik,
Isaac Meilijson and Eytan Ruppin. Effective learning requires synaptic remodeling at the neuronal level. Advances in Neural Information Processing Systems 12 (NIPS 1999) |
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Gal Chechik,
Isaac Meilijson and Eytan Ruppin Neuronal normalization provides effective learning through ineffective synaptic learning rules. Eighth Computational Neuroscience meeting, Pittsburgh, Pennsylvania. (CNS 1999) |
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Gal Chechik,
Isaac Meilijson and Eytan Ruppin Neuronal Regulation Implements Efficient Synaptic Pruning. Advances in Neural Information Processing Systems 11. (NIPS 1998) |
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Gal Chechik,
Isaac Meilijson and Eytan Ruppin Efficient Synaptic Pruning with Neuronal Regulation. Seventh Annual Computational Neuroscience Meeting, Santa Barbara, CA. (CNS 1998) |
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Gal Chechik,
Isaac Meilijson and Eytan Ruppin Synaptic Pruning : A Novel Account in Neural Terms. Sixth Annual Computational Neuroscience Meeting, Big-Ski Montana (CNS 1997) |
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Books | |||||
Gal Chechik,
Lidror Troyanski and Naftali Tishby Information Computation and Learning. (Hebrew) Hebrew University Press, 2003 |
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Book Chapters | |||||
Gal Chechik,
David Horn and Eytan Ruppin Neuronal regulation and synaptic normalization. In M. Arbib editor, The handbook of Brain Theory and Neural networks. 2nd edition. MIT Press 2002 |
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I Nelken,
N. Ulanovsky, L. Las, O. Bar-Yosef, M. Anderson,
G. Chechik, N. Tishby and E.D. Young. Transformations of stimulus representations in the ascending auditory system. In: Auditory signal processing: physiology psychoacoustics and models, Eds. D. Pressnitzer A. de Cheveigne S. McAdams and L. Collet. Springer New York 223-229. 2004, |
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PhD Thesis | |||||
Gal Chechik, Information theoretic approach to the study of auditory coding (122 pages) |
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Individual chapters
Abstract Introduction Extracting information from spike trains Quantifying coding interactions Redundancy reduction in the auditory pathway Extracting relevant structures Summary Appendices |
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Technical reports | |||||
Gal Chechik Types, Super types, and the mutual information distribution. Technical Report of the Leibniz Center, The Hebrew university. 2002-61 |
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Conference Abstracts | |||||
Gal Chechik, A. Regev, D. Koller Filling missing components in yeast metabolic pathways using heterogeneous data. Computational biology workshop at NIPS 2005, Vancouver CA. |
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Sean O'Rourke,
Gal Chechik and Eleazar Eskin Separation of overlapping subpopulations by mutual information. Computational biology workshop at NIPS 2005, Vancouver CA. |
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Gal Chechik, A. Regev, D. Koller Filling missing components in yeast metabolic pathways using heterogeneous data. 7th BioPathways Meeting at ISMB 2005. Detroit, 2005. |
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Gal Chechik Information and redundancy in the auditory system. NIPS workshop on Estimation of entropy and information of undersampled distibutions: Theory and Applications to the neural code. Organized by I. Nemenman and W. Bialek, Whistler Canada 2003. |
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Gal Chechik, Israel
Nelken and Naftali Tishby Extracting relevant structures using side information. NATO advanced study institute, learning theory and practice, Leuven Belgium 2002. |
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G.
Chechik, M. Anderson, E.D. Young, N. Tishby and I. Nelken, Redundancy reduction along the ascending auditory pathway. Society For Neuroscience meeting, San Diego CA 2001. |
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G. Chechik,
N. Tishby, Spike time dependant plasticity and mutual information. The 9th Annual Meeting of Israeli neuroscience society, Eilat, Israel. 2000. |
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G. Chechik, I. Meilijson
and E. Ruppin, Effective learning requires neuronal remodeling of Hebbian synapses. Neural Computation in Science and Technology (NCST-99). Maale Hachamisha, Israel 1999. |
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G. Chechik, I. Meilijson
and E. Ruppin, Robust Associative Memory with Asymmetric Synaptic Learning Rules. The 8th Annual Meeting of Israeli neuroscience society Eilat, Israel (1999). |
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G. Chechik, I. Meilijson and E. Ruppin, Enforcing Effective Synaptic Learning via a Neuronal Mechanism. NeuroScience letters. Supl 51. Proceedings of the 7th annual meeting of the Israeli Neuroscience Society. (1998). |
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G. Chechik, I. Meilijson
and E. Ruppin, Neuronal Regulation: A Mechanism For Efficient Synaptic Pruning During Brain Maturation. NeuroScience letters. Supl 51. Proceedings of the 7th annual meeting of the Israeli Neuroscience Society. (1998). |
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